Phase Distribution Calculation for Large Phase Objects
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Solution Overview
Problem
Existing methods for calculating phase distribution in large phase objects, such as spheroids or cell colonies, face challenges in accurately compensating for light attenuation, which affects the visualization and evaluation of these objects.
Innovation Solution
A method involving sequential movement of the focal position of an optical system within a phase object to acquire images at multiple positions, calculating a first phase distribution, and correcting it for changes in the optical axis direction, followed by evaluating the phase object using threshold-based comparisons between different regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single focal position is used to acquire images, then the imaging process is simple and fast, but the phase distribution calculation accuracy deteriorates due to light attenuation in large phase objects
Solution Approach 1:
The imaging process is segmented into multiple steps: acquiring images at different focal positions (first image set), calculating initial phase distribution, identifying regions of interest, acquiring additional images focused on those regions (second image set), and performing corrected phase distribution calculation. This segmentation allows the system to maintain simplicity for standard cases while enabling enhanced accuracy when needed.
Solution Approach 2:
The system performs preliminary phase distribution calculation from the first image set before acquiring the second image set. This preliminary action identifies regions of interest that require further imaging, allowing the system to focus additional measurements only where necessary, thus balancing accuracy requirements with imaging efficiency.
2Measurement precision
If multiple focal positions are used to acquire images, then the phase distribution calculation accuracy improves, but the imaging time and processing complexity increase
Solution Approach 1:
The imaging process is divided into two phases: initial imaging at multiple focal positions to capture the entire phase object, followed by selective additional imaging only at regions of interest. This segmentation reduces total imaging time compared to uniformly imaging the entire object at high resolution, while still achieving accurate phase distribution calculation where needed.
Solution Approach 2:
The system performs partial imaging by acquiring detailed images only at identified regions of interest rather than uniformly across the entire phase object. This partial action approach achieves sufficient measurement precision for the most important areas without the time cost of exhaustive imaging of the entire object.
3Measurement precision
If conventional phase distribution calculation is used, then the process is simple, but the accuracy deteriorates due to uncorrected light attenuation effects
Solution Approach 1:
The system performs preliminary phase distribution calculation using conventional methods before applying correction. This preliminary calculation identifies regions of interest and provides a baseline that guides subsequent corrected calculation, making the complex correction process more manageable and targeted.
Solution Approach 2:
The corrected phase distribution calculation uses feedback from the preliminary calculation results, specifically using identified regions of interest to guide additional imaging and correction efforts. This feedback mechanism ensures that complex correction processes are applied strategically rather than uniformly, improving efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of phase distribution calculation and visualization, improving the evaluation of phase objects, especially large ones, by effectively compensating for light attenuation and enhancing the detection of structural features.
Implementation Method 1
a technology is known for observing a phase object such as a biological cell by calculating the phase distribution of the phase object using a phase-contrast microscope
Implementation Method 2
a differential interference contrast microscope, or the like so as to visualize the phase object
Implementation Method 3
compensating for an amount of attenuation in a phase amount due to the scattering of light within a phase object
Data Source
AI summary
A phase distribution calculation method includes: moving a focal position of an optical system to a plurality of positions within a phase object, the plurality of positions being different from each other in an optical axis direction of the optical system, and acquiring an image via the optical system in each of the plurality of positions; calculating a first phase distribution of a three-dimensional region that corresponds to a plurality of images acquired in the plurality of positions, in accordance with the plurality of images; and correcting the first phase distribution in accordance with a change in the optical axis direction in a region of interest specified in the three-dimensional region.